The
Internet has become the most pervasive technology, which has infiltrated every
aspect of our lives. It is predicted that there will be 50 billion devices
connected in the Internet of Things (IoT) by 2020. This explosion of devices
naturally demands low design cost and fast time-to-market for producing highly
energy-efficient ICs. Meanwhile, big data accumulated through these devices
need to be processed timely, which demands high processing power under energy
constraints for data centers. Such substantial demands on high
performance and energy efficiency in different markets would lead to continued
increases of IC complexity and capacity. Given all these new trends, a
significant problem facing the industry is that the design productivity for
complex ICs has been lagging behind. High-level synthesis (HLS) has been touted
as a solution to this problem, as it can significantly reduce the number of man
hours required for a design by raising the level of design abstraction. In this
short course, Prof. Deming Chen will first provide an overview of high-level
synthesis, its promises and challenges, and some popular algorithms. Then, he
will introduce the most recent advances of high-level synthesis in the areas of
circuit reliability, verification, hardware security, deep neural networks, and
hardware/software co-design.

Bio:

Dr.
Deming Chen obtained his BS in computer science from University of Pittsburgh,
Pennsylvania in 1995, and his MS and PhD in computer science from University of
California at Los Angeles in 2001 and 2005 respectively. He worked as a
software engineer between 1995-1999 and 2001-2002. He joined the ECE department
of University of Illinois at Urbana-Champaign (UIUC) in 2005 and has been a
full professor in the same department since 2015. He is a research professor in
the Coordinated Science Laboratory and an affiliate professor in the CS
department. His current research interests include system-level and high-level
synthesis, computational genomics, GPU and reconfigurable computing, and
hardware security. He has given more than 80 invited talks sharing these
research results worldwide. Dr. Chen is a technical committee member for a
series of top conferences and symposia on EDA, FPGA, low-power design, and VLSI
systems design. He also served as Program or General Chair, TPC Track Chair,
Session Chair, Panelist, Panel Organizer, or Moderator for some of these
conferences. He is an associated editor for several IEEE and ACM
journals. He received the NSF CAREER Award in 2008, and six Best
Paper Awards for ASPDAC'09, SASP'09, FCCM'11, SAAHPC'11, CODES+ISSS'13, and
ICCAD'15. He received the ACM SIGDA Outstanding New Faculty Award in 2010, and
IBM Faculty Award in 2014 and 2015. He is the Donald Biggar
Willett Faculty Scholar. He is included in the List of Teachers Ranked as
Excellent in 2008. He was involved in two startup companies
previously, which were acquired. In 2016, he co-founded a new startup, Inspirit
IoT,
Inc., for design and synthesis for machine learning targeting the IoT
industry. Inspirit IoT
recently received an NSF SBIR (Small Business Innovation Research) Award from
the US government.